Information Retrieval: A Survey

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y-E)RE&mA;g0Information Retrieval: A Survey自然语言处理与信息检索共享平台-a3}^? O"a4M
30 November 2000
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9^?|.n1Trt0Ed Greengrass自然语言处理与信息检索共享平台WYg.k*i+Br)[
Abstract
k"C PP:M/u0Information Retrieval (IR) is the discipline that deals with retrieval of unstructured
3?9}f3ufO$d.?0data, especially textual documents, in response to a query or topic statement, which自然语言处理与信息检索共享平台4_mvbI*K
may itself be unstructured, e.g., a sentence or even another document, or which may自然语言处理与信息检索共享平台aL V%X?yL2l
be structured, e.g., a boolean expression. The need for effective methods of automated
eNU IW/Ud0IR has grown in importance because of the tremendous explosion in the
O'b;faS a ih0amount of unstructured data, both internal, corporate document collections, and the
YGCT:p up)q9i0immense and growing number of document sources on the Internet. This report is a自然语言处理与信息检索共享平台1b.})kFdj$a
tutorial and survey of the state of the art, both research and commercial, in this
yA(kw D&kC/o:c1z0dynamic field. The topics covered include: formulation of structured and unstructured
i Y]i3MU MA0queries and topic statements, indexing (including term weighting) of document自然语言处理与信息检索共享平台-H%pHvRb,{]
collections, methods for computing the similarity of queries and documents,自然语言处理与信息检索共享平台:@0wb/r|;?|fO
classification and routing of documents in an incoming stream to users on the basis
8t'f)DTh%ie0of topic or need statements, clustering of document collections on the basis of language
5y!XdA B_0or topic, and statistical, probabilistic, and semantic methods of analyzing and自然语言处理与信息检索共享平台8?8x]7L4e;|"D^
retrieving documents.自然语言处理与信息检索共享平台 IXC4DV \p

自然语言处理与信息检索共享平台-W2U@&r:w o

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